Areas of expertise
- Aerospace Manufacturing
- Human Factors
- Industrial Ergonomics and Human Factors
- Manufacturing Systems
Upon completion of her Masters in Occupational Psychology at the University of Nottingham she joined Cranfield University’s Industrial Ergonomics and Human Factors group within the Department of Integrated Systems. Teegan is a Graduate member of the British Psychological Society, a member of the division of Occupational Psychology and an Associate member of the Ergonomics Society.
Teegan Johnson is a Research Assistant, and currently undertaking her PhD, in the Industrial Psychology and Human Factors group at Cranfield University. Since joining Cranfield in 2012 she has worked on a range of projects within the Industrial Psychology and Human Factors group and the EPSRC Centre for Intelligent Automation focusing predominantly on the collection and analysis of human data to enhance the design and performance of automated industrial systems.
She is particularly experienced in postural analysis using traditional and computer-based techniques, advanced task analysis and task decomposition methods to detect tacit cognitive skill elements, and in the novel application of non-optical motion capture for collecting data from occluded environments and incorporating into computer aided design. These innovative techniques enable Teegan to augment traditional subjective human factors methods so that she is equipped to provide a more holistic and robust understanding of human activity and behaviour, thereby enhancing functional analysis and automation design capabilities.
Teegan is involved in various research projects exploring various ergonomics and human factors issues, including research in the aero-structures industry, human skills capture and postural analysis. Teegan’s PhD work is currently exploring the limitations of existing commercially available computer aided design software with the aim of identifying the potential for incorporating higher fidelity human activity data, both physical (via motion capture) and psychological (via mental workload measurement).
- Percussion Plus
Articles In Journals
- Fletcher SR, Johnson TL, Adlon T, Larreina J, Casla P, Parigot L, Alfaro PJ & del Mar Otero M (2019) Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction, Computers and Industrial Engineering, 139 (January) Article No. 105772.
- Johnson T, Fletcher S, Baker W & Charles R (2019) How and why we need to capture tacit knowledge in manufacturing: Case studies of visual inspection, Applied Ergonomics, 74 (January) 1-9.
- Fletcher SR, Johnson TL & Thrower J (2018) A study to trial the use of inertial non-optical motion capture for ergonomic analysis of manufacturing work, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 232 (1) 90-98.
- Charles, RL, Johnson TL & Fletcher SR (2015) The use of job aids for visual inspection in manufacturing and maintenance, Procedia CIRP, 38 90-93.
- Johnson TL & Fletcher SR (2015) The limitations of using only CAD and DHM in design relating to high value manufacturing. In: Contemporary Ergonomics and Human Factors, 2015, Daventry, 13-16 April 2015.
- Johnson TL & Fletcher SR (2014) A computer software method for ergonomic analysis utilising non-optical motion capture. In: International Conference on Ergonomics and Human Factors 2014, Southampton, 7-10 April 2014.
- Fletcher SR & Johnson TL (2014) Investigating the impact of product orientation on musculoskeletal risk in aerospace manufacturing. In: International Conference on Ergonomics and Human Factors 2014, Southampton, 7 April 2014.
- Fletcher SR, Johnson TL & Larreina J (2019) Chapter 12: Putting people and robots together in manufacturing: are we ready?. In: Robotics and Well-Being, Cham: Springer, p. 135-147.
- Johnson TL, Fletcher S & Webb PF (2016) Investigating the effects of signal light position on human workload and reaction time in human-robot collaboration tasks. In: Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future: Proceedings of the AHFE 2016 International Conference on Human Aspects of Advanced Manufacturing, July 27-31, 2016, Walt Disney World®, Florida, USA, Springer, p. 207-215.